---
license: openrail
task_categories:
- image-to-text
language:
- en
tags:
- Retrieval
size_categories:
- 1K<n<10K
---

# **Img2Text-Plaintext-Retrieval Dataset**

## **Dataset Overview**  
The **Img2Text-Plaintext-Retrieval** dataset is designed for retrieving plaintext descriptions from corresponding algorithm images. This dataset consists of structured text, raw text, algorithm images, and metadata such as source URLs and filenames. It is suitable for tasks like **OCR-based text retrieval, image-to-text learning, and document understanding**.

## **Dataset Details**  
- **Modality**: Image, Text  
- **Format**: Parquet  
- **Size**: ~456MB  
- **Total Rows**: 4,471  

## **Features**  
| Column Name      | Data Type | Description |  
|-----------------|-----------|------------|  
| **structure**    | String    | LaTeX or structured representation of the algorithm |  
| **text**        | String    | Extracted textual representation of the algorithm |  
| **image**       | Image     | Algorithm snapshot (from research papers) |  
| **download_url**| String    | URL of the source document |  
| **instance_name** | String    | Name of the instance (e.g., paper ID) |  

## **Usage**  
This dataset is useful for:  
- **Algorithm text-image retrieval**: Matching textual algorithm descriptions to corresponding images.  
- **OCR and text recognition**: Evaluating OCR models for structured text extraction.  
- **Machine Learning research**: Training deep learning models for image-to-text conversion.